{"id":248942,"date":"2022-12-07T12:40:14","date_gmt":"2022-12-07T12:40:14","guid":{"rendered":"https:\/\/imarticus.org\/?p=248942"},"modified":"2024-03-26T12:33:04","modified_gmt":"2024-03-26T12:33:04","slug":"automatically-summarise-your-emails-with-natural-language-processing","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/automatically-summarise-your-emails-with-natural-language-processing\/","title":{"rendered":"Automatically Summarise Your Emails with Natural Language Processing"},"content":{"rendered":"

Automatically Summarise Your Emails with Natural Language Processing<\/span><\/h1>\n

With the rise of Artificial Intelligence and Machine Learning, several new technologies are coming to the fore. Out of these new applications,\u00a0<\/span>Natural Language Processing<\/b>\u00a0(NLP) is one of the most popular parts of AI and ML technology. It is the new buzzword, and many companies are investing in its implementation.<\/span><\/p>\n

But what is NLP? It is a process that helps break down human language and meaningfully interpret it. It forms the core of many software applications you use daily. It <\/span>is making a real difference in summarising emails. But, it has far greater usage, and you can learn all about it here.<\/span><\/p>\n

Translation software, grammar correction software, chatbots, spam filters, voice assistants and search engines, every software app mentioned here uses NLP to understand the text better. It is also used for several\u00a0<\/span>data analyst training<\/b><\/a>\u00a0apps.\u00a0\u00a0<\/span><\/p>\n

How does NLP work?<\/b><\/h2>\n

NLP works by following a simple process, which consists of two basic steps. The first step is the training that comprises text vectorisation. In this process, the text or voice is converted into a form that the machine can understand. This is carried out with the help of various NLP tools. After that, ML training algorithms are fed this data to train as per requirement and generate output data or tags. The machines build the statistical models to train their knowledge bank. All text features are extracted and fed into the ML algorithm.<\/span><\/p>\n

Then this data is fed into the next stage after the training stage. It is called the prediction stage, where the text is then processed in the classifier model. The data from the text is segregated, and then the output is extracted.<\/span><\/p>\n

What can natural language processing help you in doing?<\/b><\/h2>\n

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From all the above apps, you have a clear idea of what NLP can help us do. But NLP is not limited to that only. It can help us to do a lot of other things as well. It combines the power of computer science and linguistics for performing various technology-related actions. If you have been using Cortana, Siri or Alexa, then you might clearly understand what text-based technology can do. After using the voice input, it can convert it into text and then use it for:<\/span><\/p>\n